摘要
MODIS遥感数据具有探测周期短、覆盖面积广、数据开放等优点,适合大尺度、动态的农业遥感监测应用。结合了MODIS遥感数据资源的特点和农作物物候特征,提出了基于MODIS的农作物面积遥感监测方法,并根据黄淮地区冬小麦种植面积提取的应用需求,选用地理空间数据云平台提供的3种MODIS数据产品进行了农作物面积提取。结果表明,使用5 d合成数据产品的提取精度较高。
MODIS data with advantages of short period of detection, wide coverage and open access are suitable for large- scale, dynamic agricultural remote sensing detection and applications. Combining with the data features of MODIS and crops phenological characteristics, the method of monitoring crops area with remote sensing based on MODIS was established. According to the application requirements of winter wheat acreage extracting in Huang-Huai region, three kinds of MODIS data products in Geospatial Data Cloud were used for crop area extraction. The results showed that using five-day synthetic data product had a higher extraction accuracy.
出处
《湖北农业科学》
2015年第6期1483-1485,1489,共4页
Hubei Agricultural Sciences
基金
河南省教育厅科学技术重点研究项目(14A510026)
许昌学院科研基金项目(2014011)